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基于美国FDA不良事件报告系统数据库的免疫检查点抑制剂致糖尿病风险分析 被引量:1

Analysis on the risk of diabetes mellitus related to immune checkpoint inhibitors based on the US FDA Adverse Event Reporting System
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摘要 目的分析免疫检查点抑制剂(ICI)致糖尿病的风险。方法收集美国FDA不良事件报告系统2004年第1季度至2021年第2季度收录的度伐利尤单抗、帕博利珠单抗、纳武利尤单抗和阿替利珠单抗致糖尿病[包括暴发性1型糖尿病(FT1DM)、1型糖尿病(T1DM)、糖尿病酮症酸中毒(DKA)]不良事件(AE)报告,采用比例报告比值比(PRR)法评价4种药物与FT1DM、T1DM、DKA间的相关性。AE报告数≥3、PRR≥2且χ^(2)≥4的AE被判定为与药物有统计学相关性,PRR越大,AE与药物的相关性越强,风险信号越强。结果收集到的度伐利尤单抗、帕博利珠单抗、纳武利尤单抗和阿替利珠单抗相关糖尿病AE报告分别为53、386、957和72例,共1468例。度伐利尤单抗、帕博利珠单抗、纳武利尤单抗和阿替利珠单抗与FT1DM相关性的PRR分别为21.97(χ^(2)=40.71)、71.50(χ^(2)=3531.21)、294.30(χ^(2)=43915.75)和33.58(χ^(2)=279.70);与T1DM相关性的PRR分别为12.12(χ^(2)=162.08)、21.04(χ^(2)=3391.17)、20.99(χ^(2)=5816.11)和9.71(χ^(2)=224.81);与DKA相关性的PRR分别为6.93(χ^(2)=161.26)、4.78(χ^(2)=426.52)、6.82(χ^(2)=1797.15)和3.04(χ^(2)=41.84)。4种药物与目标AE均有统计学相关性,致目标AE的风险信号强度均为FT1DM>T1DM>DKA;致FT1DM的风险信号强度为纳武利尤单抗>帕博利珠单抗>阿替利珠单抗>度伐利尤单抗,致T1DM的风险信号强度为帕博利珠单抗≈纳武利尤单抗>度伐利尤单抗>阿替利珠单抗;致DKA的风险信号强度为度伐利尤单抗≈纳武利尤单抗>帕博利珠单抗>阿替利珠单抗。结论度伐利尤单抗、帕博利珠单抗、纳武利尤单抗和阿替利珠单抗均可导致糖尿病,以致FT1DM的风险信号最强,T1DM次之,DKA较弱。 Objective To analyze the risk of diabetes mellitus related to immune checkpoint inhibitors(ICI).Methods The adverse event(AE)reports on fulminant type 1 diabetes mellitus(FT1DM),type 1 diabetes mellitus(T1DM),diabetic ketoacidosis(DKA),which were related to duvalizumab,pabolizumab,nivolumab,and atezolizumab in the US FDA Adverse Event Reporting System from the first quarter of 2004 to the second quarter of 2021,were collected.The correlation between the 4 drugs and FT1DM,T1DM,and DKA were evaluated using proportional reporting odds ratio(PRR)method.AE with reports≥3,PRR value≥2,andχ^(2)≥4 were judged to have statistical correlations with drugs.The greater the PRR value,the stronger the correlation between AE and drugs and the stronger the risk signals.Results A total of 1468 AE reports on diabetes mellitus were collected,53,386,957,and 72 of which were related toduvalizumab,pabolizumab,nivolumab,and atezolizumab,respectively.For duvalizumab,pabolizumab,nivolumab,and atezolizumab,the PRR reflecting the correlation with FT1DM were 21.97(χ^(2)=40.71),71.50(χ^(2)=3531.21),294.30(χ^(2)=43915.75),and 33.58(χ^(2)=279.70),respectively;the PRR reflecting correlation with T1DM were 12.12(χ^(2)=162.08),21.04(χ^(2)=3391.17),20.99(χ^(2)=5816.11),and 9.71(χ^(2)=224.81),respec‑tively;the PRR reflecting correlation with DKA were 6.93(χ^(2)=161.26),4.78(χ^(2)=426.52),6.82(χ^(2)=1797.15),and 3.04(χ^(2)=41.84),respectively.The 4 drugs were statistically correlated with their corresponding AE.The order of risk signal intensity for corresponding AE was FT1DM>T1DM>DKA.The order of risk signal intensity for FT1DM were nivolumab>pabolizumab>duvalizumab>atezolizumab,for T1DM were pabolizumab≈nivolumab>duvalizumab>atezolizumab,for DKA were duvalizumab≈nivolumab>pabolizumab>atezolizumab.Conclusions Duvalizumab,pabolizumab,nivolumab,and atezolizumab all can cause diabetes mellitus.The risk signal intensity was the strongest for FT1DM,followed by T1DM and DKA in order.
作者 彭净 吴明丽 任晓蕾 姜开杰 李兰芳 刘振 魏田田 孟路华 王美霞 班博 Peng Jing;Wu Mingli;Ren Xiaolei;Jiang Kaijie;Li Lanfang;Liu Zhen;Wei Tiantian;Meng Luhua;Wang Meixia;Ban Bo(Department of Pharmacy,Affiliated Hospital of Jining Medical University,Shandong Province,Jining 272029,China;Medical Big Data Center,Affiliated Hospital of Jining Medical University,Shandong Province,Jining 272029,China;Department of Endocrinology,Affiliated Hospital of Jining Medical University,Shandong Province,Jining 272029,China)
出处 《药物不良反应杂志》 CSCD 2022年第3期123-129,共7页 Adverse Drug Reactions Journal
基金 山东省药学会医院合理用药天际健康中青年科研学术活动项目(hlyy2021‑03)。
关键词 抗肿瘤药 免疫学 糖尿病 糖尿病酮症酸中毒 药物副反应报告系统 信号处理 计算机辅助 Antineoplastic agents,immunological Diabetes mellitus Diabetic ketoacidosis Adverse drug reaction reporting systems Signal processing,computer‑assisted
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